PR as Managing Digital Reputation in AI
We view PR not as media reach, but as systematic work with the digital sources from which ChatGPT, Alice AI, and other models form answers about a brand.
The goal is not publication volume, but growing AI Visibility: accurate brand representation in professional, reputational, and industry queries.
«A platform's authority does not always directly determine how likely generative AI is to use it. In many scenarios, models favor specialized expert content.»
Reputation, expertise, and media — as knowledge sources for generative AI
PR Focus Areas in AI Visibility
Multi-tier management of digital knowledge sources — from Owned Media to industry media.
Owned Media
Owned expert platforms — a foundation for consistent brand presence in the professional conversation.
- VC.ru
- Habr
- Yandex Zen
- corporate blogs
Business and Industry Platforms
Authoritative commercial and niche resources to strengthen expert positioning.
- Companies.RBC
- RBC
- industry platforms
- analytical media
Industry Media
Niche publications that AI relies on for narrow expert and reputational queries.
- industry publications
- trade media
- specialized resources
Reputation Scenarios
Managing professional reputation in AI — from corporate communications to industry leadership.
- press office and corporate communications
- expert industry queries
- company comparisons in AI answers
How We Run PR Projects
Four stages — from reputation query research to monitoring impact on AI.
Research
Reputation Query Research
Strategy
Communication Strategy
Content
Expert Content and Placement
Monitor
Monitoring and Refinement
Reputation Query Research
Communication Strategy
Expert Content and Placement
Monitoring and Refinement
Reputation Query Research
We build a prompt map: how users and journalists ask AI about the brand, industry, and company.
Communication Strategy
Based on the Prompt Map and Knowledge Gap Analysis, we define topics, tone, and priority placement channels.
Expert Content and Placement
We prepare analytics, commentary, and expert materials. Placement is chosen with AI Visibility impact in mind.
Monitoring and Refinement
Repeat AI Visibility measurements after publications. Strategy is adjusted based on actual impact on results.
What Our Research Shows
Practical insights from reputation and industry PR projects.
National Media Are Not the Only Channel
Major outlets carry high trust, but their publications are not always the primary source for AI. Specialized content is often more relevant.
Sensitivity to Wording
Changing a few words in a query can surface different sources and a different set of recommended companies.
Multi-Tier Ecosystem
An effective PR strategy in AI Visibility is built on Owned Media, business platforms, and industry sources — not a single channel.
Value for Money
Platforms are evaluated not only by media weight, but by likelihood of AI usage, placement cost, and impact on AI Visibility.
How We Select Media Outlets
Value for Money economics — not media weight alone, but impact on AI Visibility.
- 1likelihood of AI usage
- 2topical relevance to the query
- 3placement cost
- 4impact on AI Visibility
- 5media weight and recognition
Human-in-the-Loop
Every PR asset undergoes mandatory expert review before publication.
Combining AI-accelerated content production with professional expertise ensures quality and alignment with the communication strategy.
PR Within the Methodology
Cases, channels, and processes — a detailed overview.
A pilot study on managing professional reputation across generative AI platforms.
- key intent: "Best press office in the telecom market"
- comparison of ChatGPT and Alice AI
- testing different query phrasings
- source and recommendation analysis
Confirmed: AI promotion requires more than publishing in the largest national media alone.
PR in the AI Visibility Model
We are building a methodology for selecting expert content distribution channels, where priority is determined not only by platform authority, but by its real impact on generative model answers.
